Systemic Sclerosis Perturbs the Architecture of the Immunome

• Published in: Frontiers in immunology Vol. 11; p. 1602
• Main Authors: Paleja, Bhairav, Low, Andrea Hsiu Ling, Kumar, Pavanish, Saidin, Suzan, Lajam, Ahmad, Nur Hazirah, Sharifah, Chua, Camillus, Li Yun, Lai, Albani, Salvatore
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 06.08.2020
• Subjects: Adult; Autoantibodies - immunology; Autoimmunity; Biomarkers; chronic stimulation; Computational Biology - methods; Disease Susceptibility - immunology; Female; Gene Expression Profiling; Gene Regulatory Networks; High-Throughput Nucleotide Sequencing; Humans; Immunology; immunome; Leukocytes, Mononuclear - immunology; Leukocytes, Mononuclear - metabolism; Lymphocytes - immunology; Lymphocytes - metabolism; Lymphocytes - pathology; MAIT; Male; mass cytometry; Middle Aged; Scleroderma, Systemic - diagnosis; Scleroderma, Systemic - etiology; systemic sclerosis; Transcriptome; Young Adult; immunome; systemic sclerosis; mass cytometry; MAIT; chronic stimulation
• ISSN: 1664-3224; 1664-3224
• DOI: 10.3389/fimmu.2020.01602

Systemic sclerosis (SSc) is an autoimmune disease characterized by excessive fibrosis of skin and internal organs, and vascular dysfunction. Association of T and B cell subsets has been reported in SSc; however, there is lack of systematic studies of functional relations between immune cell subsets in this disease. This lack of mechanistic knowledge hampers targeted intervention. In the current study we sought to determine differential immune cell composition and their interactions in peripheral blood of SSc patients. Mononuclear cells from blood of SSc patients ( = 20) and healthy controls ( = 10) were analyzed by mass cytometry using a 36-marker (cell surface and intracellular) panel. Transcriptome analysis (m-RNA sequencing) was performed on sorted T and B cell subsets. Unsupervised clustering analysis revealed significant differences in the frequencies of T and B cell subsets in patients. Correlation network analysis highlighted an overall dysregulated immune architecture coupled with domination of inflammatory senescent T cell modules in SSc patients. Transcriptome analysis of sorted immune cells revealed an activated phenotype of CD4 and mucosal associated invariant T (MAIT) cells in patients, accompanied by increased expression of inhibitory molecules, reminiscent of phenotype exhibited by functionally adapted, exhausted T cells in response to chronic stimulation. Overall, this study provides an in-depth analysis of the systemic immunome in SSc, highlighting the potential pathogenic role of inflammation and chronic stimulation-mediated "functional adaptation" of immune cells.